go-featureprocessing
ocrserver
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go-featureprocessing | ocrserver | |
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6 | 2 | |
113 | 631 | |
- | - | |
5.2 | 0.0 | |
about 1 month ago | over 2 years ago | |
Go | Go | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
go-featureprocessing
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Machine learning with GOlang
Tabular data is well supported in Go. Tabular data and small sample sizes is a sweet spot for Go. You may squeze in some meaningful performance and good looking code and integrations. Some entry points: (1) https://github.com/nikolaydubina/go-ml-benchmarks (2) https://github.com/dmitryikh/leaves (3) https://github.com/nikolaydubina/go-featureprocessing
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Show HN: Go-Featureprocessing v1.0.0
What is this?
Fast feature preprocessing in Go with feature parity to sklearn
https://github.com/nikolaydubina/go-featureprocessing
What is new?
* Added batch processing
- Feature Processing in Go
- [P] fast and convenient feature processing in Go! I am sure many backend teams are running Go services, if so this should help integration better!
- Fast and convenient library for feature processing in pure Go! I am focusing on single sample processing time, benchmarks and ease of use. Try it out!
ocrserver
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How to write a specific text recognition code?
For example, in about 5 minutes I was able to find ocrserver, hosted here. Drop your image into that and whitelist it to just numbers and you get the following output: { "result": "3\n7 2\n2 5\n120\n4\n12092\n42093 1 4\n12094\n7\n224\n2\n5 3\n25", "version": "0.2.0" }
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https://np.reddit.com/r/AskProgramming/comments/nztt2k/how_to_write_a_specific_text_recognition_code/h1t0lkx/
For example, in about 5 minutes I was able to find ocrserver, hosted here. Drop your image into that and whitelist it to just numbers and you get the following output:
What are some alternatives?
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
bayesian - Naive Bayesian Classification for Golang.
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
tfgo - Tensorflow + Go, the gopher way
sklearn - bits of sklearn ported to Go #golang
CloudForest - Ensembles of decision trees in go/golang.
goml - On-line Machine Learning in Go (and so much more)
goRecommend - Collaborative Filtering (CF) Algorithms in Go!